scholarly journals Revolutionizing Medical Data Sharing Using Advanced Privacy-Enhancing Technologies: Technical, Legal, and Ethical Synthesis

10.2196/25120 ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. e25120 ◽  
Author(s):  
James Scheibner ◽  
Jean Louis Raisaro ◽  
Juan Ramón Troncoso-Pastoriza ◽  
Marcello Ienca ◽  
Jacques Fellay ◽  
...  
Keyword(s):  
Medical Research ◽  
Data Sharing ◽  
Data Protection ◽  
Homomorphic Encryption ◽  
Medical Data ◽  
Secure Multiparty Computation ◽  
Multiparty Computation ◽  
Data Interoperability ◽  
General Data Protection Regulation ◽  
Privacy Enhancing Technologies

Multisite medical data sharing is critical in modern clinical practice and medical research. The challenge is to conduct data sharing that preserves individual privacy and data utility. The shortcomings of traditional privacy-enhancing technologies mean that institutions rely upon bespoke data sharing contracts. The lengthy process and administration induced by these contracts increases the inefficiency of data sharing and may disincentivize important clinical treatment and medical research. This paper provides a synthesis between 2 novel advanced privacy-enhancing technologies—homomorphic encryption and secure multiparty computation (defined together as multiparty homomorphic encryption). These privacy-enhancing technologies provide a mathematical guarantee of privacy, with multiparty homomorphic encryption providing a performance advantage over separately using homomorphic encryption or secure multiparty computation. We argue multiparty homomorphic encryption fulfills legal requirements for medical data sharing under the European Union’s General Data Protection Regulation which has set a global benchmark for data protection. Specifically, the data processed and shared using multiparty homomorphic encryption can be considered anonymized data. We explain how multiparty homomorphic encryption can reduce the reliance upon customized contractual measures between institutions. The proposed approach can accelerate the pace of medical research while offering additional incentives for health care and research institutes to employ common data interoperability standards.

scholarly journals Revolutionizing Medical Data Sharing Using Advanced Privacy-Enhancing Technologies: Technical, Legal, and Ethical Synthesis (Preprint)

2020 ◽  
Author(s):  
James Scheibner ◽  
Jean Louis Raisaro ◽  
Juan Ramón Troncoso-Pastoriza ◽  
Marcello Ienca ◽  
Jacques Fellay ◽  
...  
Keyword(s):  
Medical Research ◽  
Data Sharing ◽  
Data Protection ◽  
Homomorphic Encryption ◽  
Medical Data ◽  
Secure Multiparty Computation ◽  
Multiparty Computation ◽  
Data Interoperability ◽  
General Data Protection Regulation ◽  
Privacy Enhancing Technologies

UNSTRUCTURED Multisite medical data sharing is critical in modern clinical practice and medical research. The challenge is to conduct data sharing that preserves individual privacy and data utility. The shortcomings of traditional privacy-enhancing technologies mean that institutions rely upon bespoke data sharing contracts. The lengthy process and administration induced by these contracts increases the inefficiency of data sharing and may disincentivize important clinical treatment and medical research. This paper provides a synthesis between 2 novel advanced privacy-enhancing technologies—homomorphic encryption and secure multiparty computation (defined together as multiparty homomorphic encryption). These privacy-enhancing technologies provide a mathematical guarantee of privacy, with multiparty homomorphic encryption providing a performance advantage over separately using homomorphic encryption or secure multiparty computation. We argue multiparty homomorphic encryption fulfills legal requirements for medical data sharing under the European Union’s General Data Protection Regulation which has set a global benchmark for data protection. Specifically, the data processed and shared using multiparty homomorphic encryption can be considered anonymized data. We explain how multiparty homomorphic encryption can reduce the reliance upon customized contractual measures between institutions. The proposed approach can accelerate the pace of medical research while offering additional incentives for health care and research institutes to employ common data interoperability standards.

scholarly journals Efficient Secure Multiparty Computation Protocol for Sequencing Problem over Insecure Channel

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Yi Sun ◽  
Qiaoyan Wen ◽  
Yudong Zhang ◽  
Hua Zhang ◽  
Zhengping Jin
Keyword(s):  
Homomorphic Encryption ◽  
Privacy Preserving ◽  
Secure Multiparty Computation ◽  
Online Auction ◽  
Multiparty Computation ◽  
Sequencing Problem ◽  
The Core ◽  
Secure Protocol ◽  
Core Issue

As a powerful tool in solving privacy preserving cooperative problems, secure multiparty computation is more and more popular in electronic bidding, anonymous voting, and online auction. Privacy preserving sequencing problem which is an essential link is regarded as the core issue in these applications. However, due to the difficulties of solving multiparty privacy preserving sequencing problem, related secure protocol is extremely rare. In order to break this deadlock, this paper first presents an efficient secure multiparty computation protocol for the general privacy-preserving sequencing problem based on symmetric homomorphic encryption. The result is of value not only in theory, but also in practice.

scholarly journals Data protection and ethics requirements for multisite research with health data: a comparative examination of legislative governance frameworks and the role of data protection technologies†

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
James Scheibner ◽  
Marcello Ienca ◽  
Sotiria Kechagia ◽  
Juan Ramon Troncoso-Pastoriza ◽  
Jean Louis Raisaro ◽  
...  
Keyword(s):  
Research Ethics ◽  
Data Protection ◽  
Data Transfer ◽  
Homomorphic Encryption ◽  
Personalised Medicine ◽  
The United States ◽  
Health Data ◽  
The European Union ◽  
Data Accessibility ◽  
General Data Protection Regulation

Abstract Personalised medicine can improve both public and individual health by providing targeted preventative and therapeutic healthcare. However, patient health data must be shared between institutions and across jurisdictions for the benefits of personalised medicine to be realised. Whilst data protection, privacy, and research ethics laws protect patient confidentiality and safety they also may impede multisite research, particularly across jurisdictions. Accordingly, we compare the concept of data accessibility in data protection and research ethics laws across seven jurisdictions. These jurisdictions include Switzerland, Italy, Spain, the United Kingdom (which have implemented the General Data Protection Regulation), the United States, Canada, and Australia. Our paper identifies the requirements for consent, the standards for anonymisation or pseudonymisation, and adequacy of protection between jurisdictions as barriers for sharing. We also identify differences between the European Union and other jurisdictions as a significant barrier for data accessibility in cross jurisdictional multisite research. Our paper concludes by considering solutions to overcome these legislative differences. These solutions include data transfer agreements and organisational collaborations designed to `front load' the process of ethics approval, so that subsequent research protocols are standardised. We also allude to technical solutions, such as distributed computing, secure multiparty computation and homomorphic encryption.

scholarly journals Biobanking between the EU and Third Countries — Can Data Sharing Be Facilitated via Soft Regulatory Tools?

2018 ◽  
Vol 25 (5) ◽  
pp. 517-536 ◽  
Author(s):  
Santa Slokenberga
Keyword(s):  
Data Sharing ◽  
Data Protection ◽  
Clinical Care ◽  
Research Capacity ◽  
Genomic Research ◽  
General Data Protection Regulation ◽  
Biobank Research ◽  
General Data ◽  
Legal Frameworks ◽  
The Eu

AbstractIn biobanking, collaboration and data sharing contribute to building genomic research capacity, and have the potential to further scientific advances that ultimately can result in advances in clinical care. However, in the absence of common applicable legal frameworks that enable collaboration, capacity building is hindered. With the applicability of the General Data Protection Regulation, the obstacles to data sharing which involve export of data from European Union Member States to third countries are expected to grow, rendering the collaboration between the EU and third countries even more challenging. This article examines how, if at all, data sharing in biobank research between the EU and third countries could be facilitated via the use of soft regulatory tools. It argues that although the existing soft tools might not in itself be suitable for meeting all the GDPR requirements, they could be the basis on which to raise the area-specific data protection bar globally.

scholarly journals The “A” of FAIR – As Open as Possible, as Closed as Necessary

2020 ◽  
Vol 2 (1-2) ◽  
pp. 47-55 ◽  
Author(s):  
Annalisa Landi ◽  
Mark Thompson ◽  
Viviana Giannuzzi ◽  
Fedele Bonifazi ◽  
Ignasi Labastida ◽  
...  
Keyword(s):  
Data Sharing ◽  
Data Protection ◽  
Personal Data ◽  
Health Data ◽  
Privacy Rights ◽  
Regulatory Requirements ◽  
Data Set ◽  
General Data Protection Regulation ◽  
Digital Era ◽  
General Data

In order to provide responsible access to health data by reconciling benefits of data sharing with privacy rights and ethical and regulatory requirements, Findable, Accessible, Interoperable and Reusable (FAIR) metadata should be developed. According to the H2020 Program Guidelines on FAIR Data, data should be “as open as possible and as closed as necessary”, “open” in order to foster the reusability and to accelerate research, but at the same time they should be “closed” to safeguard the privacy of the subjects. Additional provisions on the protection of natural persons with regard to the processing of personal data have been endorsed by the European General Data Protection Regulation (GDPR), Reg (EU) 2016/679, that came into force in May 2018. This work aims to solve accessibility problems related to the protection of personal data in the digital era and to achieve a responsible access to and responsible use of health data. We strongly suggest associating each data set with FAIR metadata describing both the type of data collected and the accessibility conditions by considering data protection obligations and ethical and regulatory requirements. Finally, an existing FAIR infrastructure component has been used as an example to explain how FAIR metadata could facilitate data sharing while ensuring protection of individuals.

Cybersecurity and Data Privacy in the Digital Age

2022 ◽  
pp. 117-131
Author(s):  
Olakunle Olayinka ◽  
Thomas Win
Keyword(s):  
Data Sharing ◽  
Small Businesses ◽  
Data Privacy ◽  
New Technologies ◽  
Digital Technologies ◽  
Privacy Preserving ◽  
Secure Multiparty Computation ◽  
Multiparty Computation ◽  
Creative Solutions ◽  
It Knowledge

The COVID-19 pandemic has brought to the fore a number of issues regarding digital technologies, including a heightened focus on cybersecurity and data privacy. This chapter examines two aspects of this phenomenon. First, as businesses explore creative approaches to operate in the “new normal,” the security implications of the deployment of new technologies are often not considered, especially in small businesses, which often possess limited IT knowledge and resources. Second, issues relating to security and data privacy in monitoring the pandemic are examined, and different privacy-preserving data-sharing techniques, including federated learning, secure multiparty computation, and blockchain-based techniques, are assessed. A new privacy-preserving data-sharing framework, which addresses current limitations of these techniques, is then put forward and discussed. The chapter concludes that although the worst of the pandemic may soon be over, issues regarding cybersecurity will be with us for far longer and require vigilant management and the development of creative solutions.

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